There are two main methods of research. These are quantitative and qualitative methodologies. Quantitative methods are based on numbers. that is statistics, measurements, values and calculations. Qualitative observes behaviors, visual characteristics and behaviors of what is/are being investigated. For example the Doppler Shift has qualitative characteristics of color (blue versus red shift). Quantitative aspects of the Doppler Shift of space objects would be their velocity, age, and compositions by percent.
descriptive data are observations
quantitative data are measurements.
in mathematical statistics qualitative means not numbers so it has to be expressed in words e.g. a color quantative: means a number e.g. age.
comparative data analysis is when you compare your data or results. there is 2 more types of scientific investigations, descriptive investigation and experimental investigation.
quantitative mean amount of any thing in number.
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Data will be either qualitative (non numerical description) or quantative (numerical values assigned to a property). To give you an example, a meterologist may describe the sky on a particular day as cloudy (qualitative) with a 5 mile per hour wind (quantative). Studies can be classified as experimental studies or observational studies. The experimental study means that the scientist is able to treat or alter in some way the population. Medical studies of drugs frequently conduct experimental studies and collect experimental data. Observational studies, we collect data without altering the population. A good example is astronomical studies, where it is impossible to alter the population. Scientific studies need to be thorough investigations relying on good data and sufficient quantity of data in order to reach conclusions.
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
Calculus to produce Quantative data
The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.
Descriptive statistics describe the main features of a collection of data quantitatively. Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a data set quantitatively without employing a probabilistic formulation, rather than use the data to make inferences about the population that the data are thought to represent.
Descriptive data is data that is used to summarize or describe samples of data. Descriptive data is different from inferential statistics because inferential statistics uses data to learn from it.
No, descriptive data is not a technique; it is data that describe the sample such as mean, SD, mode, and range.
Qualitative means what is it while quantative means how much is there. Some examples of qualitative data might be whether a solution is of copper or iron or if a compound is formed with nitrate or carbonate. Quantative data could be the concentration of a solution or the mass present in a sample.
Descriptive statistics label, name, or give information about a variable. Inferential stats are inferred from a smaller data set to be valid for the whole population.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
Qualitative data
What is the difference between a descriptive and an explanatory statement?
Descriptive statistics give simple summaries of the data that was gathered.